Cross-Sectional Variation of Intraday Liquidity, Cross-Impact, and Their Effect on Portfolio Execution

Over the past decade, there has been a significant rise in assets managed under passive and systematic strategies. Such strategies hold and trade portfolios in a coordinated manner, often concentrating trading around the end of the trading session. Simultaneously, there has been a rise in activity from market participants that act as liquidity providers, themselves trading along portfolio directions. In “Cross-Sectional Variation of Intraday Liquidity, cross-impact, and Their Effect on Portfolio Execution,” Min, Maglaras, and Moallemi investigate the implications of these two observations, specifically exploring how the phenomenon of portfolio liquidity provision leads to cross-security impact and influences the optimal execution schedules of risk-neutral traders that seek to minimize their expected execution costs. They show that the optimized schedules deviate from the naïve approach that trades each security separately and instead, couple the trading intensity across stocks so as to benefit from the liquidity provided along attractive portfolio trading directions. Empirical analysis demonstrates that coupled optimized schedules could lower costs by as much as 15% relative to the naïve approach.

Topology of Complex Networks and Demand of Intraday Liquidity: Based on the Real-Time Gross Settlement System

Based on the payments and settlement system, the influence of the topology of capital flow networks on the extra short-term liquidity demand is investigated. Through modelling the circulating mechanism of liquidity in a network, its different influencing factors are analysed. The factors relating to the strength of nodes and leakage of liquidity that influences the liquidity demands of real-time settlements are studied from the perspective of both the system and members, using different simulation methods. The results show that strength will lead the member’s liquidity demand to increase but the strength distribution will lead the system’s liquidity demand to decrease, in cases with no leakage effect or unchanged leakage effect. The liquidity demand of the entire system is positive compared to the amount of leakage effect but uncorrelated to the distribution of the leakage effect among members, if the effect of strength distribution is unchanged. If the effects of strength, strength distribution and leakage are changed together, the latter is the dominant factor that influences the liquidity demand of both system and members. The above findings are useful for the management and supervision of short-term liquidity demand in complex financial systems, and for liquidity risk management and liquidity rescue policymaking.

Intraday Liquidity Flows within the Financial Market Infrastructures in Mexico

In this chapter, the authors present a methodology to study the flow of funds in large-value payment systems (LVPSs). The algorithm presented differentiates the flow of payments into two categories: 1) external funds, i.e. funds transferred from other financial market infrastructures (FMIs) or provided by the central bank, and 2) the reuse of incoming payments within the same FMI. Using individual transaction data, the algorithm evaluates to what extent incoming payments are used to cover obligations. The method also studies the flow of intraday liquidity under the framework of its provision within Mexican FMIs. The aim is to evaluate the impact of intraday liquidity provision, and understand how liquidity is transmitted to participants in the Mexican Large Value Payment System, or SPEI®.